Intuitionistic fuzzy approach to bias correction of users' QoE estimation in information service networks

In the paper, an approach to bias correction of users' Quality of Experience (QoE) estimation in information service networks is described. Numerical opinion scales for degree of confidence of the users and for the user's level of competence (self-estimation) are used. One approach to the correction of the incorrect expert's evaluation is presented. Geometrical interpretations of the corrections of the user's estimations are also presented.